I've been learning Python recently. I found that one can make it much faster with a little work. Coming from other languages, it was also easy to write it in a

I've been learning Python recently. I found that one can make it much faster with a little work. Coming from other languages, it was also easy to write it in a way that its many accelerators, like Cython or mycpp, could use. What's the catch? For me, there were two. First, I'm having to learn to code in the "Pythonic" style so my code will fit into existing projects. An example in a class I took was moving from while loops to for i in range(len(list)). While you won't forget to increment the counter, it felt like being so clever would reduce optimizations. Another project needed whole, string copies for conciseness vs a char-by-char algorithm that was highly-efficient. While it may be my inexperience, it seems like Pythonic style inherently favors conciseness and readibility standards over performance. Second, the extensions seem tightly coupled with the CPython interpreter. I've read enough articles to know that's causing problems for people wanting to add capabilities. It may not matter, though, since most of us use Python for its ecosystem benefits. We can just switch tools when needed.